Technical Product Manager Jobs in Norway.
All active Technical Product Manager roles based in Norway.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
QA/QC Manager – Nussir Mineral Processing Plant
Share this job
Quality Assurance & Quality Control Manager, Nussir Processing Plant
Location: Site Base, must be residential to the Nussir Project Site
Reports To: Site Project Director (Construction Phase) / Plant Operations Manager (Operations Phase)
Employment Type: Full-Time, Permanent
Position Summary
The QA/QC Manager is responsible for developing, implementing, and maintaining quality assurance and quality control systems for a mineral processing plant across both the construction and operational phases.
This role ensures that all engineering, procurement, construction, commissioning, and operational activities comply with applicable standards, specifications, and regulatory requirements. The QA/QC Manager plays a critical role in establishing a culture of quality, continuous improvement, and operational excellence.
Key Responsibilities
- Construction Phase (EPCM / Build-Out)
- Develop and implement the Project Quality Management Plan (QMP)
- Establish QA/QC procedures, inspection and test plans (ITPs), and quality documentation systems
- Review engineering deliverables for compliance with specifications and standards
- Ensure contractor and vendor quality programs meet project requirements
- Oversee inspection and testing of:
- Structural, mechanical, piping, and electrical installations
- Process equipment (crushers, mills, flotation cells, thickeners, etc.)
- Manage non-conformance reports (NCRs), corrective actions, and root cause analysis
- Coordinate third-party inspections and certifications
- Conduct audits of EPCM contractors, suppliers, and site activities
- Ensure proper material traceability and documentation control
- Support pre-commissioning and commissioning activities, including system handover documentation
- Commissioning & Start-Up
- Verify quality readiness for commissioning systems and subsystems
- Ensure completion of punch lists and deficiency tracking
- Validate test work, calibration, and performance verification processes
- Support development of operational quality procedures and control plans
- Ensure turnover documentation is complete, accurate, and auditable
- Operations Phase (Process Plant)
- Develop and maintain the Operational Quality Management System (QMS)
- Implement QA/QC procedures for:
- Ore sampling and assaying
- Metallurgical accounting and reconciliation
- Process control and optimization
- Product quality (concentrates, tailings, etc.)
- Oversee laboratory QA/QC programs, including:
- Sample preparation, analysis, and certification
- External lab audits and round-robin testing
- Monitor plant performance against quality KPIs and metallurgical targets
- Lead investigations into production deviations and quality failures
- Ensure compliance with regulatory, environmental, and customer specifications
- Drive continuous improvement initiatives (Lean, Six Sigma principles)
- Documentation & Compliance
- Establish and manage document control systems for QA/QC records
- Ensure compliance with applicable standards (e.g., ISO 9001 or equivalent)
- Maintain inspection records, test reports, and quality dossiers
- Prepare quality reports for management and stakeholders
- Support internal and external audits
- Leadership & Stakeholder Coordination
- Lead and develop the QA/QC team (inspectors, lab personnel, technicians)
- Interface with engineering, construction, operations, and maintenance teams
- Act as the primary quality liaison with contractors, vendors, and regulators
- Promote a strong quality and safety culture across the site
Qualifications
- Bachelor’s degree in:
- Metallurgical Engineering
- Chemical Engineering
- Mineral Processing
- Mechanical Engineering or related field
- Professional designation (P.Eng. or equivalent) preferred
Experience
- 10+ years of experience in QA/QC within mining or mineral processing
- Experience in both plant construction and operations is strongly preferred
- Proven experience in EPC/EPCM project environments
- Strong background in process plant systems (crushing, grinding, flotation, dewatering, etc.)
- Experience with laboratory QA/QC and metallurgical accounting is an asset
Technical Skills
- Strong knowledge of QA/QC systems, standards, and methodologies
- Experience with:
- Inspection & Test Plans (ITPs)
- Non-Conformance Management Systems
- Root Cause Analysis (RCA)
- Familiarity with ISO standards (e.g., ISO 9001)
- Understanding of metallurgical processes and plant performance metrics
- Proficiency in data analysis and reporting tools
Core Competencies
- Leadership and team development
- Attention to detail and high standards of quality
- Problem-solving and analytical thinking
- Strong communication and stakeholder management
- Organizational and documentation discipline
- Continuous improvement mindset
Working Conditions
- Site-based role with rotation during construction and operations
- Exposure to industrial plant environments (noise, dust, heavy equipment)
- May require travel to vendor facilities and laboratories
Key Performance Indicators (KPIs)
- Compliance with project and operational quality standards
- Reduction in NCRs and rework during construction
- Successful commissioning and handover quality metrics
- Accuracy of metallurgical accounting and sampling
- Laboratory QA/QC performance and audit results
- Continuous improvement outcomes and cost savings
Equal Employment Opportunity
Blue Moon Metals Inc. is an Equal Opportunity Employer and complies with all applicable local employment laws. We are committed to maintaining a safe, inclusive, and respectful workplace.
Ready to apply?
Apply to Blue Moon Metals
About the Company
About Armada
Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada’s AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.
The ND8 region represents a strategically important market for Armada. Customers here are technically sophisticated, highly security-conscious, and often operate across multiple countries with strong expectations around data residency, sustainability, and operational excellence. Armada’s success in ND8 depends on senior engineers who can both execute deeply technical deployments and maintain long-term customer ownership.
Role Overview
The Senior Forward Deploy Engineer for ND8 is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership across the Nordic region. This role combines the execution depth of a Forward Deploy Engineer with the long-term ownership and customer leadership of a Technical Account Manager.
In the early phases of engagement, the Senior FDE leads platform bring-up, deployment execution, and initial workload onboarding. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, reliability, and expansion across multiple countries and sites.
This role reports into the Sr. Director of Customer Success & Delivery, EMEA & ANZ and is intentionally designed to avoid fragmented ownership between deployment and post-sale success. Success is measured by deployment quality, speed to production, customer confidence, platform adoption, retention, and expansion.
Key Responsibilities
Deployment execution and platform bring-up
- Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service
- Execute deployments across the ND8 region, including multi-country and multi-site environments
- Own infrastructure bring-up, platform configuration, and production readiness validation
- Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers
Technical account ownership and customer success
- Serve as the primary technical point of contact for assigned ND8 customers post go-live
- Own the technical success plan, adoption milestones, and operational maturity roadmap
- Build trusted, long-term relationships with customer engineering, platform, security, and data teams
- Lead technical governance discussions, roadmap planning, and platform optimization conversations
Joint Success Plan ownership
- Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer
- Align deployment milestones, platform adoption, and operational maturity to customer business objectives
- Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking
- Regularly review progress against success plans with customer stakeholders and Armada leadership
- Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning
- Surface risks, dependencies, and blockers early and drive resolution with clear ownership
Time-to-value acceleration and adoption
- Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases
- Drive adoption across new workloads, business units, and countries
- Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS
Operational excellence and reliability
- Ensure customer environments remain stable, secure, and production-ready
- Proactively identify scaling risks, architectural gaps, and technical debt
- Coordinate with Product, Engineering, and Support teams to resolve issues efficiently
Data residency, security, and regulatory execution
- Operate confidently within ND8 data residency, privacy, and security expectations including GDPR-aligned requirements
- Support customer security reviews, audits, and governance processes
- Balance global delivery standards with local regulatory nuance and customer expectations
- Maintain disciplined access control, documentation, and operational hygiene
Field leadership and mentorship
- Act as a senior technical presence for ND8 customers, setting the bar for execution and professionalism
- Mentor junior FDEs, TAMs, and delivery engineers as the region scales
- Contribute to deployment standards, runbooks, and repeatable best practices
Cross-functional collaboration
- Partner closely with the Sr. Director of Customer Success & Delivery, EMEA & ANZ on NB8 priorities and escalations
- Work with Sales on expansion planning while maintaining a trusted post-sale posture
- Provide structured feedback to Product and Engineering teams based on real-world ND8 customer usage
Qualifications and Experience
- 8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles
- Proven ability to own both hands-on delivery and long-term customer technical relationships
- Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute
- Strong troubleshooting skills in live, production environments
- Experience supporting customers across multiple European countries
- Willingness to travel within the ND8 region as required
- Clear, confident communication style suited for executive and senior engineering audiences
Preferred Experience
- Experience with edge compute, modular data centers, or distributed infrastructure
- Familiarity with AI workloads, GPU clusters, and high-performance computing environments
- Exposure to regulated, sovereign, or government-adjacent environments
- Experience operating in Nordic or EU-regulated markets
- Comfort operating with ambiguity and owning outcomes end to end
What Success Looks Like
- ND8 customer environments reach production quickly and operate reliably
- The same engineer who deploys the platform remains the trusted technical owner long-term
- Adoption expands across workloads, sites, and countries without handoff friction
- Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
Ready to apply?
Apply to Armada
Technical Program Manager
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
- Breaking down complex requirements with the product manager, tech lead, and Office of the CTO, turning them into execution pieces and finding the right sequence
- Managing schedule, timelines, and milestones (i.e. alpha, beta, and GA)
- Driving the trade-offs between usability, go-to-market (GTM) lead time, features scope, technical debt/investment (i.e. across UX/PM/ENG/GTM) to maximize value for our customers and Cognite
- Drive end-to-end alignment from sales to delivery, security, and support
- Managing internal and external dependencies arising from end-to-end alignment
- Managing budgeting and resource needs
- Managing in-market product performance in scope of the program (e.g. usage metrics, cost drivers, required delivery effort, as well as quality, reliability, security etc.), ensuring those metrics are measured, reported, reviewed and acted upon
The Impact you bring to Cognite
- Automate the "toil" of program management
- Run complex, cross-discipline and cross-department programs that span research, engineering, and product
- Strong influencing skills: The ability to influence stakeholders and drive consensus across the organization without formal reporting lines
- Structured, thorough and detail oriented
- Genuine interest in or direct experience on the full product lifecycle (product strategy, sales, delivery, adoption, support, sunsetting)
- Must have experience from a SaaS company at scale
- Must have software development experience (any language) in developing, testing, deploying code for a software product
- Strong system design understanding, specifically regarding scalable systems
- Proven ability to use AI tools (e.g., Cursor, Claude code, custom agents) to accelerate productivity
Preferred Experience
- Technical MSc degree or proven technical hands-on experience
- Experience in leading and managing product development teams, running sprints, scrums, making scoping trade-offs and assessing technical options with tech leads and architects
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Manager, Data Science
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.
You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.
This is a capability-building role—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.
The Impact you bring to Cognite
Regional Technical Leadership (Data Science)
- Own the DS function’s technical quality across all customer engagements in the region
- Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
- Ensure scalable, maintainable, and well-documented analytical solutions across all pods.
Customer Value Realization
- Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
- Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
- Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution
Scaling & Growth
- Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
- Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
- Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.
Operational & Delivery Quality Management
- Ensure DS teams follow disciplined delivery practices including:
– clear problem framing
– structured exploration
– robust modelling & validation
– well-defined acceptance criteria
– telemetry, monitoring, and performance checks - Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
- Track DS contribution to delivery health, model quality, and customer outcomes.
Team Leadership & Development
- Lead, mentor, and develop the Data Science community across Value Delivery Europe.
- Define the DS competency framework and build learning pathways covering:
– statistics, machine learning, optimisation
– deep learning, generative models, agentic frameworks
– industrial domain context
– Dune workflows and UI-based logic
– communication, consulting, and delivery excellence - Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
- Recruit top DS talent, shape onboarding, and grow internal leaders.
Collaboration & Alignment
- Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
- Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
- Support cross-functional alignment on best practices for modelling, data readiness, and solution reliability
- 7–10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
- Proven track record delivering data-driven solutions in production—preferably in industrial, asset-heavy, or mission-critical environments
- Experience leading technical teams or DS communities
- Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
- Ability to translate industrial problems into analytical, predictive, or agent-based solutions
- Familiarity with full-stack DS:
– backend logic (Python/SQL/pipelines)
– UI/workflow experience (Dune, low-code/no-code, visual interfaces) - Excellent communication skills—able to explain complex technical concepts to non-technical stakeholders
- High delivery orientation with strong problem-solving and analytical thinking
Mindset:
- Passionate about growing people, uplifting technical depth, and maturing DS practices
- Curious, experimental, and willing to adopt new frameworks, including Dune-based development
- Collaborative, structured, and committed to customer value and operational excellence
- Thrives in high-growth, rapidly evolving environments
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Vice President, Value Delivery - Europe (Professional Services)
Share this job
What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
You lead through data and financial rigor, but you influence through outcomes, trust, and cross-functional alignment. You build teams that operate as strategic partners to Sales, Product, and Engineering—not downstream executors—and you are known for reducing, not creating, friction across the customer lifecycle.
The Pace: You’ll operate in a fast-scaling SaaS and industrial AI environment, scaling toward global market leadership in industrial data and AI. You will be accountable for building and leading a world-class value delivery organization across Europe that consistently delivers measurable customer outcomes, protects and grows services margins, and fuels expansion and renewals. This is an environment where speed, precision, and cross-functional alignment are non-negotiable
How you’ll demonstrate Ownership
We’re seeking a Vice President, Value Delivery – Europe who is the Regional GM for services: fully accountable for P&L, customer outcomes, and organizational scalability, while protecting customer trust and cross-functional alignment. You treat delivery as a lever for long-term account value and product adoption, not just implementation. You obsess over utilization, margin, forecast accuracy, and customer satisfaction—and you know how to build systems, teams, and rituals that continuously improve those metrics.
If you’ve led multi-market professional services organizations, scaled from regional player to global contender, and consistently turned complex industrial data programs into referenceable success stories—this role is for you. As Vice President, Value Delivery – Europe, you will own and drive the complete P&L performance of professional services delivery across the region. Your success will be measured by your ability to:
- Deliver measurable customer outcomes that prove the value of Cognite Data Fusion and our AI capabilities.
- Achieve and exceed aggressive growth and profitability targets for services in Europe.
- Build, lead, and retain a high-performing delivery organization that can scale with Cognite’s product roadmap and go-to-market strategy.
Regional P&L leadership & financial performance
- Own full financial accountability for the European services business, including costs, margins, and investment decisions.
- Drive profitable growth through strategic pricing, disciplined resource optimization, and operational efficiency.
- Manage the regional budget across personnel, partners, technology, travel, and operations, ensuring investments are tied to value creation.
- Partner with Finance and Operations on accurate revenue recognition, project accounting, margin analysis, and portfolio-level reporting.
- Ensure accurate forecasting, budgeting, and financial reporting with clear visibility into risk and upside.
- Track and improve delivery KPIs such as utilization, forecast accuracy, profitability, and cash.
Staffing, capacity planning & resourcing
- Lead workforce planning with the Staffing Manager to ensure optimal staffing for current and forecasted demand.
- Monitor utilization and productivity, proactively addressing capacity gaps or surpluses before they impact delivery or margins.
- Implement scalable resourcing models blending full-time, contract, and partner resources.
- Align resource allocation with strategic priorities, key customers, and long-term account value—not just short-term revenue.
Delivery excellence & customer success
- Enforce and evolve delivery standards that ensure consistent, repeatable customer success in line with PMO frameworks.
- Serve as executive sponsor for strategic accounts, leading complex implementations from kickoff to value realization.
- Own executive-level escalation management, resolving critical issues while protecting relationships and outcomes.
- Drive continuous improvement in methodologies, playbooks, and operating models informed by customer feedback and market signals.
- Partner with Account Executives and Value Engineering to validate and communicate business outcomes from Cognite deployments.
Team leadership & capability building
- Partner with Talent Acquisition and HR to recruit, onboard, and retain top delivery talent across Europe.
- Recognize and reward contributions based on customer outcomes, commercial impact, and operational excellence.
- Build strong cross-functional collaboration with Sales, Product, and Engineering across the customer lifecycle.
- Foster a culture of accountability, collaboration, innovation, and disciplined, high-quality project and portfolio data.
Strategic partnership & growth
- Partner with regional sales leadership to jointly identify and pursue expansion opportunities within existing accounts, using delivery as a growth lever while preserving trust and alignment.
- Enable partners through training, co-delivery models, and clear standards so they can scale implementations effectively and represent Cognite in a way that reinforces customer trust.
- Contribute to the global services and value delivery strategy with regional insights, best practices, and competitive intelligence.
- Drive thought leadership via customer case studies, executive briefings, and industry conferences that showcase quantified business impact.
You will monitor and report on key value delivery metrics, including:
- Business outcomes validated with Account Executives and Value Engineering Operations
- Project success rate and on-time delivery.
- Budget adherence and cost variance.
- Forecast accuracy for financials and resources.
- Customer satisfaction and loyalty (CSAT, NPS, executive sponsor sentiment).
- Team utilization, engagement, and retention.
- Escalation rates, time-to-resolution, and systemic fixes implemented.
The Impact you bring to Cognite
- Regional value engine: You turn Cognite’s technology into measurable business value at scale, making the European region a showcase for industrial AI success stories.
- P&L ownership: You treat the services P&L as your business, making disciplined trade-offs that balance growth, profitability, and customer trust.
- Systemic excellence: You design operating models, governance, and data practices that allow the delivery organization to scale without quality decay.
- Cross-functional influence: You act as a strategic partner to Sales, Product, and Engineering, ensuring delivery insights shape roadmaps and go-to-market.
- Leadership presence: You represent Cognite with executives at some of the world’s most critical industrial companies, earning the right to expand our footprint.
- Trusted enterprise partner: You build durable trust with C-level customer stakeholders by balancing hard numbers with strategic advice and long-term value creation.
- Commercially disciplined, not siloed: You make disciplined commercial decisions without creating friction with Sales, Product, or Customer Success, and you default to joint planning over unilateral moves.
Required Qualifications
- 15+ years of professional services leadership experience in SaaS, enterprise software, or industrial technology, with demonstrable P&L ownership; Multi-market leadership experience across European geographies, with sensitivity to local market dynamics, regulations, and talent landscapes.
- Proven track record of managing a services P&L of 20M+ with responsibility for revenue, margin, and team performance in complex B2B environments.
- Deep expertise in industrial data, IoT, or digital transformation programs.
- Exceptional financial acumen with the ability to drive profitable growth through strategic resource allocation, pricing, and operational excellence.
- Proven ability to build, lead, and retain high-performing, multi-disciplinary delivery teams in competitive talent markets.
- Experience managing complex, multi-million dollar customer implementations with multiple stakeholders, vendors, and technical complexity.
- Strong understanding of industrial AI, data analytics, and digital twin technologies, with the ability to articulate business value to both technical and executive audiences.
- Experience with cloud platforms and SaaS delivery models in enterprise B2B environments, including familiarity with industrial data standards and OT/IT integration challenges.
Key Competencies
- Data-driven decision maker who uses metrics, analytics, and forecast scenarios to optimize performance and drive continuous improvement.
- Customer-obsessed leader with a proven ability to translate complex technical solutions into clear, measurable business outcomes.
- Strong executive presence and communication skills, capable of influencing C-level stakeholders across cultures and geographies with compelling narratives and data.
- Entrepreneurial, results-oriented mindset, comfortable with ambiguity and known for consistently exceeding aggressive growth and profitability targets.
- Proven ability to lead, mentor, and develop large, diverse teams across multiple locations.
- Ability to align delivery operations tightly with broader business goals, including product adoption, renewals, and expansion.
- Skilled in long-term planning, risk management, and organizational scaling in fast-changing environments.
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry